The graph represents a network of 4,388 Twitter users whose tweets in the requested range contained ""disaster recovery" OR "disaster response"", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 17 December 2022 at 20:16 UTC.
The requested start date was Saturday, 17 December 2022 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 13-day, 14-hour, 53-minute period from Saturday, 03 December 2022 at 02:11 UTC to Friday, 16 December 2022 at 17:04 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
The graph is directed.
The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Author Description
Vertices : 4388
Unique Edges : 3038
Edges With Duplicates : 4280
Total Edges : 7318
Number of Edge Types : 5
Retweet : 1796
MentionsInRetweet : 2331
Tweet : 1822
Replies to : 332
Mentions : 1037
Self-Loops : 1839
Reciprocated Vertex Pair Ratio : 0.0252930289944479
Reciprocated Edge Ratio : 0.049338146811071
Connected Components : 1818
Single-Vertex Connected Components : 1288
Maximum Vertices in a Connected Component : 308
Maximum Edges in a Connected Component : 892
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.047879
Graph Density : 0.000172673925343774
Modularity : 0.538262
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 4,388 Twitter users whose tweets in the requested range contained "%22disaster recovery%22 OR %22disaster response%22", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 17 December 2022 at 20:16 UTC.
The requested start date was Saturday, 17 December 2022 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 13-day, 14-hour, 53-minute period from Saturday, 03 December 2022 at 02:11 UTC to Friday, 16 December 2022 at 17:04 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : GraphServerTwitterSearch
Graph Term : %22disaster recovery%22 OR %22disaster response%22
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
Edge Color : Edge Weight
Edge Width : Edge Weight
Edge Alpha : Edge Weight
Vertex Radius : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[2314] disaster,recovery [995] disaster,response [601] management,agency [596] federal,emergency [596] emergency,management [595] required,disaster [595] agency,fema [595] assistance,required [595] scale,assistance [595] storm,scale Top Word Pairs in Tweet in G1:
[1165] disaster,recovery [595] federal,emergency [595] required,disaster [595] scale,assistance [595] storm,scale [595] emergency,management [595] assistance,required [594] management,agency [594] agency,fema [594] waffle,house Top Word Pairs in Tweet in G2:
[132] disaster,recovery [121] program,history [121] shortchanged,poor [121] recovery,program [121] claimed,largest [121] activists,claimed [121] 16,years [121] largest,disaster [121] years,activists [121] history,shortchanged Top Word Pairs in Tweet in G3:
[226] disaster,response [186] national,disaster [155] disaster,management [151] management,training [112] youth,volunteers [103] collaboration,national [103] nyks,collaboration [103] glimpses,disaster [103] volunteers,nyks [103] training,youth Top Word Pairs in Tweet in G4:
[107] disaster,recovery [59] recovery,journal [19] data,protection [12] backup,disaster [9] best,practices [8] industry,predictions [8] 2023,tech [8] tech,industry [7] #dataprotection,vendor [7] false,#data Top Word Pairs in Tweet in G5:
[104] disaster,recovery [66] recovery,center [39] mobile,disaster [24] #ian,survivors [21] north,port [19] center,open [18] recovery,centers [17] fema,mobile [16] library,daily [16] open,north Top Word Pairs in Tweet in G6:
[35] disaster,recovery [12] elonmusk,jack [9] recovery,plan [3] stored,offsite [3] backups,site [3] proper,disaster [3] disaster,response [2] see,guys [2] given,software [2] tomfitton,elonmusk Top Word Pairs in Tweet in G7:
[27] department,education [27] watch,vice [27] secretary,sara [27] vice,president [27] philippine,army's [27] colonel,philippine [27] education,secretary [27] president,department [26] duterteâ,colonel [26] disaster,response Top Word Pairs in Tweet in G8:
[35] disaster,response [32] national,disaster [31] response,force [27] observed,two [27] those,lost [27] tributes,those [27] minutes,silence [27] two,minutes [27] cisf,personnel [27] silence,paid Top Word Pairs in Tweet in G9:
[58] full,stack [54] disaster,recovery [53] stack,disaster [45] manual,rebuild [45] dr,strategy [45] rebuild,dr [45] existing,manual [45] recovery,critical [45] replaces,existing [45] deloitte,replaces Top Word Pairs in Tweet in G10:
[75] disaster,recovery [57] learn,more [57] more,dtst [56] disrupt,billion [56] growth,strategy [56] billion,dollar [56] emerging,growth [56] strategy,disrupt [56] dtst,emerging [56] recovery,cloud Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: